Machine Learning in R
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Updated
Jun 11, 2024 - R
Machine Learning in R
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
Everything is Linkable
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (L…
Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support
OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
Research project
Filter-based feature selection for mlr3
Feature selection package of the mlr3 ecosystem.
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space
Deep Treatment Learning (R)
feseR: Combining feature selection methods for analyzing omics data
NPDR: Nearest-neighbor Projected-Distance Regression with the generalized linear model
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
An R package for feature selection in topological spaces.
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